Execute a parameterized RMD on cluster

Usage

execute_on_cluster(
  renv_directory,
  rmd_file,
  iterable,
  iter_to_params,
  output_file = "output.log",
  image_id = "ami-0438747454de030f3",
  security_group_ids = c("sg-01f269087c271cf61", "sg-0f0e8b61aa72dbdef"),
  instance_type = "t2.small",
  terminate = TRUE,
  upload_s3_prefix = "upload-rstudio-server-ubuntu-task",
  upload_s3_bucket = "gcpd",
  renv_directory_cmds = NULL,
  renv_directory_cmds_post = NULL
)

Arguments

renv_directory: Path to a directory on the host machine that is managed by renv and where all dependencies have been installed into the AMI image.
rmd_file: Path to a RMD script relative to renv_directory.
iterable: Vector or list. A separate instance is launched for each element.
iter_to_params: Function that transforms an element of iterable into a list of parameters that are passed to rmarkdown::render in the params argument.
image_id: AMI image id. Each instance will be based on this image.
instance_type: EC2 instance type.
terminate: If TRUE terminate the instance after script completes.
upload_s3_prefix: Path to which the JSON file describing the cluster is uploaded. The default will upload it to a preconfigured folder in S3 that will trigger a lambda which will eventually create the requested instances.
upload_s3_bucket: S3 bucket.